head to head · open source
llm-wiki-agent vs readme-ai
llm-wiki-agent has 3,542 GitHub stars, 407 forks, 4 open issues and last shipped 3 days ago. readme-ai has 2,988 stars, 296 forks, 57 open issues and last shipped 4 days ago. llm-wiki-agent leads on adoption by 19% (3,542 vs 2,988 stars). llm-wiki-agent is written in Python under MIT; readme-ai is written in Python under MIT. llm-wiki-agent has attracted 11% as many forks as stars, readme-ai 10%. llm-wiki-agent was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (gemini), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| llm-wiki-agent | readme-ai | |
|---|---|---|
| GitHub stars | ★ 3.5K | ★ 3.0K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 407 | ⑂ 296 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llm-wiki-agent if
- You weight community size — 3.5K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick readme-ai if
- You want the readme-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and readme-ai fits your workflow better
About llm-wiki-agent
LLM Wiki Agent is a Python coding agent skill for building a personal knowledge base. It lives in the coding agent and personal knowledge base ecosystem, where Claude Code, Codex, OpenCode, and Gemini CLI can read configuration files and run workflows. Users place source documents into a raw directory and ask the agent to ingest them. The agent reads the sources, extracts knowledge, and maintains a persistent interlinked markdown wiki.
read the full llm-wiki-agent overview →
About readme-ai
ReadmeAI is a Python command line tool that automatically generates README files for a codebase by pairing a repository processing engine with large language models, and it is built for developers and maintainers who want structured project documentation without writing it by hand.
read the full readme-ai overview →
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Frequently asked questions
Is llm-wiki-agent or readme-ai more popular?
llm-wiki-agent has 3,542 GitHub stars and readme-ai has 2,988. llm-wiki-agent has the larger community by that measure.
Are llm-wiki-agent and readme-ai free?
Both are open source. llm-wiki-agent is licensed under MIT and readme-ai under MIT. Neither carries a licence fee.
What is the difference between llm-wiki-agent and readme-ai?
llm-wiki-agent is written in Python and readme-ai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, llm-wiki-agent or readme-ai?
Choose llm-wiki-agent if you want the larger community (3,542 stars) or its MIT licence terms. Choose readme-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.